Chapter 5: Data Analysis & Typology of Disposers

This chapter presents the statistical analyses carried out on the main study dataset along with the findings in a series of reports, tables and figures. The chapter starts with the pretest reporting, pilot study findings and a descriptive statistics of the respondents that made up the sample, followed by a detailed description  of the steps taken to conduct exploratory and confirmatory data analyses. Next, the result of the descriptive statistics of the measurement scales for the 10 constructs: Value Seeking Tendency, Innovation Seeking Tendency, Tendency to De-clutter, Lifestyle Factors, Storage Factors, Product Working Condition, Disposition Channel, Disposition Tendency, Disposition Behavior and Impulse Disposition Behavior are reported. The results of Partial Least Square (PLS) based Structural Equation Modeling (SEM) approach for the assessment of the measurement and structural model are presented. Next, tests of internal reliability consistency, convergent validity, discriminant validity, and predictive validity are examined on the basis of PLS outputs to evaluate and adjust the measurement model. Further, the assessment of the structural model was carried out. The R² values of the endogenous constructs helped predict the explanatory power of the model. Also, path coefficient (β) and t-values are calculated to determine the direction and significance of the hypothesized relationship. The explanatory power of the model and Goodness- of-fit (GOF) are also discussed in this chapter. In the second part, a discussion of the five demographic variables i.e. age, income, gender, family type, job transferability and work status is presented as the moderator elements in the disposition tendency model. The procedure has been presented as per a multi group discussion.